Terminal File Extraction and Prioritization for Printing
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Solution Overview
Problem
Current terminal devices lack an efficient method to prioritize and select printable files for output based on date and file type, leading to user inconvenience in selecting the desired files for printing.
Innovation Solution
The terminal device includes an extraction unit that prioritizes and displays output target candidates based on date and file type, allowing users to select and output files through a user-friendly interface, utilizing short-range wireless communication for seamless interaction with printing devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If all files are displayed for selection, then users can select any file for printing, but the selection process becomes time-consuming and complex
Solution Approach 1:
The terminal performs preliminary actions by automatically extracting and prioritizing output target candidates before the user needs to select files. The extraction unit identifies files suitable for printing based on file type, modification date, and other criteria, presenting a pre-filtered list to the user. This eliminates the need for users to manually browse through all files, significantly reducing selection time while maintaining versatility.
Solution Approach 2:
The file selection process is segmented into multiple stages: (1) automatic extraction of potential candidates, (2) prioritization based on multiple criteria, (3) display of ranked candidates, and (4) user selection. This segmentation transforms a single overwhelming task into manageable steps, where the system handles the complex filtering and ranking, and the user only needs to review and select from a curated list.
2Productivity
If files are prioritized automatically based on date and type, then selection efficiency improves, but the system complexity increases
Solution Approach 1:
The system performs self-service by automatically analyzing files and determining priority without requiring complex user input or configuration. The extraction unit autonomously evaluates files based on predefined criteria (file type, modification date, application usage), and the prioritization unit automatically ranks them. This self-service approach handles the complexity internally while presenting a simple interface to users, improving efficiency without burdening the user with system complexity.
Solution Approach 2:
The system uses parameter changes to simplify complexity management. Multiple parameters (file type, modification date, application usage frequency) are changed and weighted to generate a priority score. By transforming multiple complex evaluation dimensions into a single priority ranking parameter, the system achieves high selection efficiency while keeping the user interface simple. The complexity is managed through parameter transformation rather than complex user-facing logic.
3Measurement precision
If multiple criteria are used for prioritization, then file selection accuracy improves, but the processing complexity increases
Solution Approach 1:
The system performs preliminary analysis of multiple criteria before final prioritization. The extraction unit pre-processes files to gather information about file type, modification date, and associated applications. The prioritization unit then uses this pre-processed information to calculate priority scores. By performing these analyses in advance and organizing data systematically, the system achieves high identification accuracy while managing processing complexity through structured pre-computation.
Solution Approach 2:
The prioritization unit acts as an intermediary that receives multiple input parameters (file type, date, application usage) and transforms them into a single priority ranking. This intermediary layer simplifies the complexity by providing a unified interface between the multi-criteria evaluation and the final selection process. The intermediary aggregates and weights multiple criteria, converting complex multi-dimensional evaluation into a simple ranked list that the user can easily interpret and select from.
Data Source
AI summary
A terminal includes: an extraction unit that extracts output target candidates from a plurality of files included in the terminal; a display that displays the extracted candidates; a receiving unit that receives a selection of an output target from the displayed candidates; and an output unit that outputs the selected output target.